Evidence map›Paper›PMID 25366585›Full record

ArticleAnnals of surgical oncology2015

Postoperative Nomogram for Predicting Cancer-Specific Mortality in Medullary Thyroid Cancer.

Allen S Ho, Lu Wang, Frank L Palmer, Changhong Yu, Arnbjorn Toset, Snehal Patel, Michael W Kattan, R Michael Tuttle, Ian Ganly

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Operative Management of Thyroid Disease in Older Adults.Journal of the Endocrine Society · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. International Medullary Thyroid Carcinoma Grading System: A Validated Grading System for Medullary Thyroid Carcinoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  15. Article
  16. Predicting Outcomes in Sporadic and Hereditary Medullary Thyroid Carcinoma over Two Decades.Thyroid : official journal of the American Thyroid Association · 2021
    Article
  17. Article
  18. Article
  19. Grading of medullary thyroid carcinoma on the basis of tumor necrosis and high mitotic rate is an independent predictor of poor outcome.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    Article
  20. A Nomogram for Predicting Cancer-Specific Survival of Patients with Gastrointestinal Stromal Tumors.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Allen S HoDepartment of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Lu Wang
Frank L Palmer
Changhong Yu
Arnbjorn Toset
Snehal Patel
Michael W Kattan
R Michael Tuttle
Ian Ganly

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundMedullary thyroid cancer (MTC) is a rare thyroid cancer accounting for 5 % of all thyroid malignancies. The purpose of our study was to design a predictive nomogram for cancer-specific mortality (CSM) utilizing clinical, pathological, and biochemical variables in patients with MTC.

methodsMTC patients managed entirely at Memorial Sloan-Kettering Cancer Center between 1986 and 2010 were identified. Patient, tumor, and treatment characteristics were recorded, and variables predictive of CSM were identified by univariable analyses. A multivariable competing risk model was then built to predict the 10-year cancer specific mortality of MTC. All predictors of interest were added in the starting full model before selection, including age, gender, pre- and postoperative serum calcitonin, pre- and postoperative CEA, RET mutation status, perivascular invasion, margin status, pathologic T status, pathologic N status, and M status. Stepdown method was used in model selection to choose predictive variables.

resultsOf 249 MTC patients, 22.5 % (56/249) died from MTC, whereas 6.4 % (16/249) died secondary to other causes. Mean follow-up period was 87 ± 67 months. The seven variables with the highest predictive accuracy for cancer specific mortality included age, gender, postoperative calcitonin, perivascular invasion, pathologic T status, pathologic N status, and M status. These variables were used to create the final nomogram. Discrimination from the final nomogram was measured at 0.77 with appropriate calibration.

conclusionsWe describe the first nomogram that estimates cause-specific mortality in individual patients with MTC. This predictive nomogram will facilitate patient counseling in terms of prognosis and subsequent clinical follow up.

Indexed as

NomogramsAdultAgedAge FactorsBlood VesselsCalcitoninCarcinoma, NeuroendocrineFemaleFollow-Up StudiesHumansLymphatic MetastasisMaleMiddle AgedMultivariate AnalysisNeoplasm InvasivenessNeoplasm StagingCalcitonin

Identifiers

PMID25366585
PMCPMC4986610

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.